Category Archive

Getting High Yield Results from Credit Union Data: Part One

Self-service data prep solutions are used by many credit unions throughout the United States to facilitate data-driven decisions, without the pain or cost of data warehousing initiatives. This is accomplished by offering a self-service solution for business users to access data directly from a myriad of transactional and operational reports used by credit unions.

The Need for Self-Service Data Prep Adds Up in the Financial Sector

In the eight years since the financial crisis of 2008 was felt around the world, a number of regulations have been enacted in an effort to mitigate risk. While market volatility remains, and there is still a focus on risk management, cost reduction and reporting, there’s also a growing emphasis on core investment activities. For organizations to remain competitive, they must do more with big data. The problem is, they aren’t.

Harnessing the Power of Cognitive Computing

Earlier this year, Altair announced that it would be partnering with IBM to better support the access and data prep needs of IBM Watson Analytics and Cognos Analytics users. Now with the ability to resell the Altair Monarch solution, IBM is further enabling business analysts to harness the power of cognitive computing across the widest variety of data sources to drive more informed, strategic business decisions.

Six Signs You Need Self-service Data Prep

Do your month-end closing activities feel like they take a year to complete? Do you wish your annual reports were like the Olympics and only came around every four years? Do you find yourself suddenly in need of a “sick day” when forecasting time rolls around? If you answered yes to any of these questions, you may be in the ranks of individuals who could use a self-service data prep solution.

Self-service Data Prep Pays Dividends for Credit Unions

With the help of self-service data prep solutions, credit unions are now able to gain business intelligence from data generated by the reports that run their business.

Auditing the Audit Process

Auditors – internal or external – are not only challenged by overwhelming amounts of data, they also have difficulty making better, faster decisions because they are unable to get at the most important data.

How to Save $22k Per Data Analyst

A recent blog post from James Haight at Blue Hills Research took a look at the average amount of time – and money – spent on inefficient data prep. The results were pretty sobering, to the tune of two hours per day spent on data prep which equates to roughly $22,000 per year, per analyst. That’s a pretty hefty price tag for a low value-add activity. Imagine if you had a team of…

Insights for 311 Calls with IBM Analytics and Datawatch

Spending too much time preparing data and not enough time analyzing and visualizing it? IBM and Altair have a combined solution to help. With the recent IBM and Altair partnership, announced at the Gartner Business Intelligence & Analytics Summit, March 14-16, you can use Altair Monarch to extend the data access and preparation capabilities of IBM Watson Analytics and IBM Cognos Analytics. Use this collection of self-service data preparation and analytics tools to take your…

Make Excel Excellent with Self-Service Data Prep

Microsoft Excel is one of the most widely used business intelligence and reporting tools. More than just a spreadsheet, Excel allows users to collect and integrate data for critical analysis and reporting. It’s easy to use, readily available as part of the Microsoft Office solution suite, and provides users with the ability to perform advanced analytic functions without the need of IT intervention. Yet, despite its many benefits, there are some limitations to Excel that…

The Future is Bright for Self-service Data Prep

Recently, I had the pleasure of being both an attendee and a speaker at the Gartner Business Intelligence & Analytics Summit in Grapevine, TX. As you can imagine, some of the hottest topics included the Internet of Things, the cloud, algorithmic business, advanced analytics and of course, self-service data prep. My presentation focused on the latter and it was a recurring theme within many of the the summit’s agenda tracks: Lead…